Abstract

Abstract. Landslides are a major concern in disaster risk reduction and management in Southeast Asia due to the region’s geographic location and setting. These are massive downward movement of rock, soil and/or debris under the influence of gravity. Benguet, lying within the Cordilleran mountains of the Philippines, is landslide prone. The increasing demand for sustainable development and expansion of human settlements and infrastructures deems landslides as a problem for the mountainous province. More than half of Benguet’s land area is highly susceptible to landslides. Hence, landslide potential identification and assessment, associated with topography, is vital in ensuring efficiency while minimizing collateral damage and unwanted casualties. This study developed a logistic regression model to map susceptibility to rainfall-induced landslides. Causative factors for the analysis in this study include rock types, soil types, land use, elevation, slope, aspect, precipitation, topographic wetness index (TWI), normalized difference vegetation index (NDVI), and leaf area index (LAI). These layers were prepared using GIS. Based on the logistic regression, the most statistically significant variables were aspect, elevation, and leaf area index (LAI). The model considered with the combination of the causative variables resulted with an R squared value of 86% which indicates good variability for the conditioning factors used for the mapping procedure. Results indicate that 69% of Benguet is highly susceptible to landslides, 7% area is moderately susceptible to landslides, and 24% area is low susceptible to landslides.

Highlights

  • 1.1 Background of the StudyBenguet, along the southwestern portion of the Cordillera Administrative Region, is dominantly mountainous as it lies within the Cordillera mountains

  • Logistic regression is a multivariate regression technique considering several physical parameters which may affect the probability of landslide occurrences

  • In creating the landslide susceptibility map, logistic regression was used to determine the relationship between the presence or absence of a landslide occurrence with a set of independent variables which were the different factors that the researchers determined to contribute to the formation of landslides

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Summary

Introduction

Along the southwestern portion of the Cordillera Administrative Region, is dominantly mountainous as it lies within the Cordillera mountains. Due to its topographic landscape and characteristics, landslide is the predominant hazard in Benguet. Defined as the movement of rock, debris, or earth down a slope, landslides are a type of "mass wasting," which denotes any down-slope movement of soil and rock under the direct influence of gravity. Landslides are site-specific and have multiple causes. Slope movement occurs when gravity acting down-slope exceeds the strength of the Earth’s composition. Snowmelt, water level fluctuations, stream erosion, ground water variations, earthquakes, volcanic activity, and human disturbance can trigger landslides (USGS, 2018)

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